Manager, Analytics, Fraud, UK
Core
Lead analytics processes for the Ongoing Monitoring team to prevent, detect, and report financial crimes (sanctions, money laundering, fraud) for SME customers.
Role type
Manager, Fraud Analytics
Builds
Fraud analytics roadmap and data-driven solutions to balance fraud losses, user friction, and regulatory obligations
Domain
Financial services / Anti-Money Laundering (AML) / Financial Crime
Deliverable
production ML models
Required skills
SQL, Excel, Python, rule building, back testing, optimisation, financial crime compliance, data visualisation
Preferred skills
Business process documentation, stakeholder management, cross-functional collaboration
Technologies
SQL, Python, Excel
Responsibilities
Identify and own complex data-driven business decisions to reduce fraud exposure; Build and lead day-to-day analytics processes to mitigate fraud risks; Collaborate with stakeholders to translate compliance requirements into innovative solutions; Articulate Fraud Analytics strategy to leadership and non-technical audiences; Identify improvement opportunities for current business processes; Work with analysts, data scientists, and operations managers across multiple geographies
Seniority
Manager, hands-on IC